{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "collapsed_sections": [
        "tdX6Mx9TiQVG",
        "FXTmN40yicVP",
        "VeC9ideq6ZyT",
        "EdMMJ3TO2Nok",
        "hz24hBlR2Wkq"
      ]
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "\n",
        "##Importing Libraries\n",
        "\n"
      ],
      "metadata": {
        "id": "tdX6Mx9TiQVG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from scipy.signal import butter, filtfilt, decimate, find_peaks\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import cv2\n",
        "import math\n",
        "\n",
        "import joblib\n",
        "from sklearn.neighbors import KNeighborsClassifier\n",
        "from sklearn.model_selection import cross_val_score, GridSearchCV\n",
        "from sklearn.metrics import accuracy_score, confusion_matrix, classification_report"
      ],
      "metadata": {
        "id": "-QilRZvRiOlF"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Load datasets for each person"
      ],
      "metadata": {
        "id": "FXTmN40yicVP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "s1_train = pd.read_csv('train/s1.txt')\n",
        "s1_test = pd.read_csv('test/s1.txt')\n",
        "\n",
        "s2_train = pd.read_csv('train/s2.txt')\n",
        "s2_test = pd.read_csv('test/s2.txt')\n",
        "\n",
        "s3_train = pd.read_csv('train/s3.txt')\n",
        "s3_test = pd.read_csv('test/s3.txt')"
      ],
      "metadata": {
        "id": "d2Vs80-WiYrv"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Functions"
      ],
      "metadata": {
        "id": "VeC9ideq6ZyT"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def butter_bandpass(lowcut, highcut, fs, order=4):\n",
        "    nyquist = 0.5 * fs\n",
        "    low = lowcut / nyquist\n",
        "    high = highcut / nyquist\n",
        "    b, a = butter(order, [low, high], btype='band')\n",
        "    return b, a\n",
        "\n",
        "# Apply the filter to the signal\n",
        "def apply_filter(data):\n",
        "    b, a = butter_bandpass(low_cutoff, high_cutoff, sampling_rate, order)\n",
        "    filtered_data = filtfilt(b, a, data)\n",
        "    return filtered_data"
      ],
      "metadata": {
        "id": "f-hOtuwqyKbm"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def downsampling(normalized_signal, downsampling_factor):\n",
        "    downsampling_factor = int(downsampling_factor)\n",
        "    resampled_signal = normalized_signal[::downsampling_factor]\n",
        "    return resampled_signal"
      ],
      "metadata": {
        "id": "pc2pAaAYyBQD"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def autoCorrelation(samples):\n",
        "    r = []\n",
        "    N = len(samples)\n",
        "\n",
        "    for j in range(0, N): #The process repeats for all possible lags from 0 to N-1\n",
        "        autocorrelation_sum = 0\n",
        "        for n in range(0, N):\n",
        "            shifted_index = n + j #For each lag j, the signal is shifted by j indices\n",
        "            if (shifted_index >= N):\n",
        "                shifted_index -= N\n",
        "            autocorrelation_sum += (samples[n] * samples[shifted_index])\n",
        "        r.append(autocorrelation_sum / N) #/N: to normalize the result\n",
        "\n",
        "    return r"
      ],
      "metadata": {
        "id": "h-nMnm7jm6AL"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def dct(signal):\n",
        "    result=[]\n",
        "    N=len(signal)\n",
        "    for k in range(0, 15):\n",
        "        summation = 0\n",
        "        for n in range(0, 15):\n",
        "            summation += signal[n] * math.cos((math.pi / (4 * 15) * (2 * n - 1) * (2 * k - 1)))\n",
        "\n",
        "        result.append(math.sqrt(2 / 15) * summation)\n",
        "    return result"
      ],
      "metadata": {
        "id": "KL6OeQ_ksYrl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def DFconstruction(S_features,name):\n",
        "    num_features = len(S_features[0])\n",
        "    column_names = [f\"F{i+1}\" for i in range(num_features)]\n",
        "    df = pd.DataFrame(S_features, columns=column_names)\n",
        "\n",
        "    df['target'] = name\n",
        "    return df"
      ],
      "metadata": {
        "id": "aSXiZnod2Too"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Data Preprocessing"
      ],
      "metadata": {
        "id": "NHg_KU6Ki7vY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#Parameters\n",
        "sampling_rate = 1000\n",
        "target_sampling_rate = 500\n",
        "low_cutoff = 1\n",
        "high_cutoff = 40\n",
        "order = 4\n",
        "downsample_factor = sampling_rate / target_sampling_rate #determines how much the signal will be compressed"
      ],
      "metadata": {
        "id": "K0aeJQPHyt2e"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "_HQScfzlfDcR"
      },
      "outputs": [],
      "source": [
        "def preprocessing(df,height=0.75,distance=100):\n",
        "    signal = df.values.flatten()\n",
        "\n",
        "    #mean removal (=remove dct component time domain)\n",
        "    mean_value = np.mean(signal)\n",
        "    signal_centered = signal - mean_value\n",
        "    filtered_signal = apply_filter(signal_centered)\n",
        "\n",
        "    #[-1,1]\n",
        "    # normalized_signal = (filtered_signal - np.min(filtered_signal)) / (np.max(filtered_signal) - np.min(filtered_signal)) #->[0,1] which is wrong\n",
        "    normalized_signal = 2 * (filtered_signal - np.min(filtered_signal)) / (np.max(filtered_signal) - np.min(filtered_signal)) - 1 #[-1,1]\n",
        "    #normalizedsignal = cv2.normalize(filtered_signal, None, alpha=-1, beta=1, norm_type=cv2.NORM_MINMAX, dtype=cv2.CV_32F)\n",
        "    #normalized_signal = normalizedsignal.flatten()\n",
        "\n",
        "    downsampled_signal = downsampling(normalized_signal, downsample_factor) #to reduce computation\n",
        "    print(len(downsampled_signal))\n",
        "    #plotting for down sampled\n",
        "    signal_limited = downsampled_signal[:1000] #limiting for plotting only\n",
        "\n",
        "    #Segmentation\n",
        "    peaks, _ = find_peaks(downsampled_signal, height=height, distance=distance) #R-peaks\n",
        "    num_segments = len(peaks) / 4\n",
        "    num_segments = int(num_segments)\n",
        "    segments = []\n",
        "    for i in range(num_segments):\n",
        "        start_index = peaks[i * 4]\n",
        "        end_index = peaks[(i + 1) * 4 - 1]\n",
        "        segment = downsampled_signal[start_index:end_index + 1]\n",
        "        segments.append(segment)\n",
        "\n",
        "    dct_coefficients = []\n",
        "    for segment in segments:\n",
        "        autocorrelation = autoCorrelation(segment)\n",
        "        #autocorrelation=np.correlate(segment,segment, mode='full')\n",
        "        #coefficients = dct(autocorrelation)\n",
        "        coefficients = dct(autocorrelation)\n",
        "        dct_coefficients.append(coefficients[0:15])\n",
        "\n",
        "    return dct_coefficients, signal_limited, segments #features - non zero"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "S1_features,signal1_limited,segments1=preprocessing(s1_train)\n",
        "S2_features,signal2_limited,_=preprocessing(s2_train)\n",
        "S3_features,signal3_limited,_=preprocessing(s3_train)"
      ],
      "metadata": {
        "id": "_qJlVm7a1gg5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "b7b939b3-e4c8-465f-f877-737f9ce2c255"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11520\n",
            "11520\n",
            "12001\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Test:\n",
        "S1_test_ft,signal1_limited_test,_=preprocessing(s1_test)\n",
        "S2_test_ft,signal2_limited_test,_=preprocessing(s2_test,0.19)\n",
        "S3_test_ft,signal3_limited_test,_=preprocessing(s3_test)"
      ],
      "metadata": {
        "id": "kJPd0cbPCyno",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "240d53f1-6b25-4b5d-8334-552300d6f5b7"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "11520\n",
            "11520\n",
            "12001\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###Plotting"
      ],
      "metadata": {
        "id": "O0CMhR0R9ma-"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def plot_signal(signal, title='Signal', color='purple', label='Signal'):\n",
        "    plt.figure(figsize=(12, 6))\n",
        "    plt.plot(signal, label=label, color=color)\n",
        "    plt.title(title)\n",
        "    plt.xlabel('Sample Index')\n",
        "    plt.ylabel('Amplitude')\n",
        "    plt.legend()\n",
        "    plt.grid(True)\n",
        "    plt.show()\n",
        "\n",
        "#normalized signal plotting to determine the height and distance of the peak finding process\n",
        "plot_signal(signal1_limited,'Downsampled Signal 1','purple','Signal 1')\n",
        "plot_signal(signal2_limited,'Downsampled Signal 2','blue','Signal 2')\n",
        "plot_signal(signal3_limited,'Downsampled Signal 3','orange','Signal 3')\n",
        "plot_signal(signal1_limited_test,'Downsampled Signal 1 - Test','red','Signal 1 - Test')\n",
        "plot_signal(signal2_limited_test,'Downsampled Signal 2 - Test','indigo','Signal 2- Test')\n",
        "plot_signal(signal3_limited_test,'Downsampled Signal 3 - Test','yellow','Signal 3 - Test')"
      ],
      "metadata": {
        "id": "d4iKvNoX9lcm",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "38a826ed-85cf-42a9-f679-e7ed6f0222d6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        ". Therefore, height of peaks=0.75, distance between 2 peaks=100:\n",
        "\n",
        "peaks, _ = find_peaks(downsampled_signal, height=0.75, distance=50) #R-peaks\n",
        "\n",
        "(The distance between the two R-peaks is approximately 100 samples, as the beats are of similar length and the R-peak timing follows a typical pattern)"
      ],
      "metadata": {
        "id": "6nJGStcmDRwj"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "plot_signal(segments1[0]) #each segment contains 4 heartbeats"
      ],
      "metadata": {
        "id": "Dr5CQSwfaEzb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 476
        },
        "outputId": "c269745f-bbf3-4f5f-b7ac-39aac88f9632"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##Dataset Construction"
      ],
      "metadata": {
        "id": "EdMMJ3TO2Nok"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "dfS1=DFconstruction(S1_features,'MK')\n",
        "dfS2=DFconstruction(S2_features,'Mostafa')\n",
        "dfS3=DFconstruction(S3_features,'Mariam')"
      ],
      "metadata": {
        "id": "juKEuv8K4NDe"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dfS1_test=DFconstruction(S1_test_ft,'MK')\n",
        "dfS2_test=DFconstruction(S2_test_ft,'Mostafa')\n",
        "dfS3_test=DFconstruction(S3_test_ft,'Mariam')"
      ],
      "metadata": {
        "id": "9ecLsrv5H4MO"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "dfS1.head()"
      ],
      "metadata": {
        "id": "zIVp6Wqg5giK",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "outputId": "8a51cda6-3428-4e55-df9c-abc4c0108b6d"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         F1        F2        F3        F4        F5        F6        F7  \\\n",
              "0  0.847758  0.847758  0.113819  0.219482  0.057890  0.132824  0.076812   \n",
              "1  0.841060  0.841060  0.113653  0.213269  0.058564  0.130499  0.076455   \n",
              "2  0.857781  0.857781  0.097566  0.218458  0.055200  0.132818  0.075433   \n",
              "3  0.843005  0.843005  0.111629  0.216521  0.057431  0.131547  0.076183   \n",
              "4  0.859324  0.859324  0.106995  0.220893  0.057134  0.133844  0.076819   \n",
              "\n",
              "         F8        F9       F10       F11       F12       F13       F14  \\\n",
              "0  0.095679  0.079410  0.064415  0.072630  0.035234  0.059141  0.007640   \n",
              "1  0.094384  0.078597  0.063813  0.071619  0.035173  0.058103  0.008012   \n",
              "2  0.095104  0.078798  0.063521  0.072580  0.034194  0.059525  0.006593   \n",
              "3  0.094799  0.078734  0.063842  0.071995  0.034935  0.058611  0.007593   \n",
              "4  0.096155  0.079780  0.064506  0.073195  0.035033  0.059792  0.007220   \n",
              "\n",
              "        F15 target  \n",
              "0  0.040493     MK  \n",
              "1  0.039564     MK  \n",
              "2  0.041205     MK  \n",
              "3  0.040119     MK  \n",
              "4  0.041143     MK  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-f810a53a-59ae-4b05-b612-526620426866\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>F1</th>\n",
              "      <th>F2</th>\n",
              "      <th>F3</th>\n",
              "      <th>F4</th>\n",
              "      <th>F5</th>\n",
              "      <th>F6</th>\n",
              "      <th>F7</th>\n",
              "      <th>F8</th>\n",
              "      <th>F9</th>\n",
              "      <th>F10</th>\n",
              "      <th>F11</th>\n",
              "      <th>F12</th>\n",
              "      <th>F13</th>\n",
              "      <th>F14</th>\n",
              "      <th>F15</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.847758</td>\n",
              "      <td>0.847758</td>\n",
              "      <td>0.113819</td>\n",
              "      <td>0.219482</td>\n",
              "      <td>0.057890</td>\n",
              "      <td>0.132824</td>\n",
              "      <td>0.076812</td>\n",
              "      <td>0.095679</td>\n",
              "      <td>0.079410</td>\n",
              "      <td>0.064415</td>\n",
              "      <td>0.072630</td>\n",
              "      <td>0.035234</td>\n",
              "      <td>0.059141</td>\n",
              "      <td>0.007640</td>\n",
              "      <td>0.040493</td>\n",
              "      <td>MK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.841060</td>\n",
              "      <td>0.841060</td>\n",
              "      <td>0.113653</td>\n",
              "      <td>0.213269</td>\n",
              "      <td>0.058564</td>\n",
              "      <td>0.130499</td>\n",
              "      <td>0.076455</td>\n",
              "      <td>0.094384</td>\n",
              "      <td>0.078597</td>\n",
              "      <td>0.063813</td>\n",
              "      <td>0.071619</td>\n",
              "      <td>0.035173</td>\n",
              "      <td>0.058103</td>\n",
              "      <td>0.008012</td>\n",
              "      <td>0.039564</td>\n",
              "      <td>MK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.857781</td>\n",
              "      <td>0.857781</td>\n",
              "      <td>0.097566</td>\n",
              "      <td>0.218458</td>\n",
              "      <td>0.055200</td>\n",
              "      <td>0.132818</td>\n",
              "      <td>0.075433</td>\n",
              "      <td>0.095104</td>\n",
              "      <td>0.078798</td>\n",
              "      <td>0.063521</td>\n",
              "      <td>0.072580</td>\n",
              "      <td>0.034194</td>\n",
              "      <td>0.059525</td>\n",
              "      <td>0.006593</td>\n",
              "      <td>0.041205</td>\n",
              "      <td>MK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.843005</td>\n",
              "      <td>0.843005</td>\n",
              "      <td>0.111629</td>\n",
              "      <td>0.216521</td>\n",
              "      <td>0.057431</td>\n",
              "      <td>0.131547</td>\n",
              "      <td>0.076183</td>\n",
              "      <td>0.094799</td>\n",
              "      <td>0.078734</td>\n",
              "      <td>0.063842</td>\n",
              "      <td>0.071995</td>\n",
              "      <td>0.034935</td>\n",
              "      <td>0.058611</td>\n",
              "      <td>0.007593</td>\n",
              "      <td>0.040119</td>\n",
              "      <td>MK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.859324</td>\n",
              "      <td>0.859324</td>\n",
              "      <td>0.106995</td>\n",
              "      <td>0.220893</td>\n",
              "      <td>0.057134</td>\n",
              "      <td>0.133844</td>\n",
              "      <td>0.076819</td>\n",
              "      <td>0.096155</td>\n",
              "      <td>0.079780</td>\n",
              "      <td>0.064506</td>\n",
              "      <td>0.073195</td>\n",
              "      <td>0.035033</td>\n",
              "      <td>0.059792</td>\n",
              "      <td>0.007220</td>\n",
              "      <td>0.041143</td>\n",
              "      <td>MK</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
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              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "  .colab-df-quickchart {\n",
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              "  .colab-df-quickchart:hover {\n",
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              "  .colab-df-quickchart-complete:disabled,\n",
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              "  @keyframes spin {\n",
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              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "dfS1",
              "summary": "{\n  \"name\": \"dfS1\",\n  \"rows\": 23,\n  \"fields\": [\n    {\n      \"column\": \"F1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.016230106633887707,\n        \"min\": 0.8237424862432112,\n        \"max\": 0.9088055360094566,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          0.8511491630084197,\n          0.855628981186507,\n          0.8477578453412183\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.016230106633887707,\n        \"min\": 0.8237424862432112,\n        \"max\": 0.9088055360094566,\n        \"num_unique_values\": 23,\n        \"samples\": [\n          0.8511491630084197,\n          0.855628981186507,\n          0.8477578453412183\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n    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\"target\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"MK\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 108
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dfS2.head()"
      ],
      "metadata": {
        "id": "QPINWV5u5kRI",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "outputId": "4526ffac-d1ed-42ae-a26e-e95ee103e2b8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         F1        F2        F3        F4        F5        F6        F7  \\\n",
              "0  0.554501  0.554501  0.289733  0.197323  0.072813  0.110832  0.075993   \n",
              "1  0.575697  0.575697  0.271824  0.207250  0.068555  0.114833  0.074970   \n",
              "2  0.542468  0.542468  0.296601  0.193754  0.074574  0.108860  0.076255   \n",
              "3  0.551454  0.551454  0.294910  0.192383  0.075225  0.109445  0.076592   \n",
              "4  0.523677  0.523677  0.302939  0.187775  0.075426  0.106276  0.075524   \n",
              "\n",
              "         F8        F9       F10       F11       F12       F13       F14  \\\n",
              "0  0.085194  0.070733  0.062433  0.059666  0.039805  0.044303  0.017165   \n",
              "1  0.086731  0.071379  0.062409  0.061309  0.038691  0.046504  0.015309   \n",
              "2  0.084317  0.070293  0.062266  0.058833  0.040154  0.043276  0.017883   \n",
              "3  0.084832  0.070632  0.062624  0.059159  0.040351  0.043554  0.017931   \n",
              "4  0.082891  0.069046  0.061623  0.057407  0.040139  0.041872  0.018389   \n",
              "\n",
              "        F15   target  \n",
              "0  0.025740  Mostafa  \n",
              "1  0.028143  Mostafa  \n",
              "2  0.024678  Mostafa  \n",
              "3  0.024873  Mostafa  \n",
              "4  0.023449  Mostafa  "
            ],
            "text/html": [
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>F1</th>\n",
              "      <th>F2</th>\n",
              "      <th>F3</th>\n",
              "      <th>F4</th>\n",
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              "      <th>F6</th>\n",
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              "      <th>F9</th>\n",
              "      <th>F10</th>\n",
              "      <th>F11</th>\n",
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              "      <th>F15</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.554501</td>\n",
              "      <td>0.554501</td>\n",
              "      <td>0.289733</td>\n",
              "      <td>0.197323</td>\n",
              "      <td>0.072813</td>\n",
              "      <td>0.110832</td>\n",
              "      <td>0.075993</td>\n",
              "      <td>0.085194</td>\n",
              "      <td>0.070733</td>\n",
              "      <td>0.062433</td>\n",
              "      <td>0.059666</td>\n",
              "      <td>0.039805</td>\n",
              "      <td>0.044303</td>\n",
              "      <td>0.017165</td>\n",
              "      <td>0.025740</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.575697</td>\n",
              "      <td>0.575697</td>\n",
              "      <td>0.271824</td>\n",
              "      <td>0.207250</td>\n",
              "      <td>0.068555</td>\n",
              "      <td>0.114833</td>\n",
              "      <td>0.074970</td>\n",
              "      <td>0.086731</td>\n",
              "      <td>0.071379</td>\n",
              "      <td>0.062409</td>\n",
              "      <td>0.061309</td>\n",
              "      <td>0.038691</td>\n",
              "      <td>0.046504</td>\n",
              "      <td>0.015309</td>\n",
              "      <td>0.028143</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.542468</td>\n",
              "      <td>0.542468</td>\n",
              "      <td>0.296601</td>\n",
              "      <td>0.193754</td>\n",
              "      <td>0.074574</td>\n",
              "      <td>0.108860</td>\n",
              "      <td>0.076255</td>\n",
              "      <td>0.084317</td>\n",
              "      <td>0.070293</td>\n",
              "      <td>0.062266</td>\n",
              "      <td>0.058833</td>\n",
              "      <td>0.040154</td>\n",
              "      <td>0.043276</td>\n",
              "      <td>0.017883</td>\n",
              "      <td>0.024678</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.551454</td>\n",
              "      <td>0.551454</td>\n",
              "      <td>0.294910</td>\n",
              "      <td>0.192383</td>\n",
              "      <td>0.075225</td>\n",
              "      <td>0.109445</td>\n",
              "      <td>0.076592</td>\n",
              "      <td>0.084832</td>\n",
              "      <td>0.070632</td>\n",
              "      <td>0.062624</td>\n",
              "      <td>0.059159</td>\n",
              "      <td>0.040351</td>\n",
              "      <td>0.043554</td>\n",
              "      <td>0.017931</td>\n",
              "      <td>0.024873</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.523677</td>\n",
              "      <td>0.523677</td>\n",
              "      <td>0.302939</td>\n",
              "      <td>0.187775</td>\n",
              "      <td>0.075426</td>\n",
              "      <td>0.106276</td>\n",
              "      <td>0.075524</td>\n",
              "      <td>0.082891</td>\n",
              "      <td>0.069046</td>\n",
              "      <td>0.061623</td>\n",
              "      <td>0.057407</td>\n",
              "      <td>0.040139</td>\n",
              "      <td>0.041872</td>\n",
              "      <td>0.018389</td>\n",
              "      <td>0.023449</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
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              "          + ' to learn more about interactive tables.';\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
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              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
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              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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              "    (() => {\n",
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              "\n",
              "    </div>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "dfS2",
              "summary": "{\n  \"name\": \"dfS2\",\n  \"rows\": 17,\n  \"fields\": [\n    {\n      \"column\": \"F1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.024628101861314745,\n        \"min\": 0.5204334030954512,\n        \"max\": 0.6056919757007145,\n        \"num_unique_values\": 17,\n        \"samples\": [\n          0.5545013315629127,\n          0.5756968045295706,\n          0.5274021463390345\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.024628101861314745,\n        \"min\": 0.5204334030954512,\n        \"max\": 0.6056919757007145,\n        \"num_unique_values\": 17,\n        \"samples\": [\n          0.5545013315629127,\n          0.5756968045295706,\n          0.5274021463390345\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n  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       0.058127174525637565\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F12\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0014994451618397637,\n        \"min\": 0.038450347120508765,\n        \"max\": 0.044827282531481265,\n        \"num_unique_values\": 17,\n        \"samples\": [\n          0.03980518689598022,\n          0.03869119120740495,\n          0.04179144164634953\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F13\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0017418184151389731,\n        \"min\": 0.04187183462148655,\n        \"max\": 0.047518061156603925,\n        \"num_unique_values\": 17,\n        \"samples\": [\n          0.044303071571679745,\n          0.04650402683158978,\n          0.04189425278077818\n        ],\n        \"semantic_type\": \"\",\n  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\"target\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Mostafa\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 109
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "dfS3.head()"
      ],
      "metadata": {
        "id": "40XM8Vke6KWM",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "outputId": "459b5891-64e3-45b8-9176-0a216be5108e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "         F1        F2        F3        F4        F5        F6        F7  \\\n",
              "0  0.918535  0.918535  0.042015  0.199116  0.055701  0.128388  0.075249   \n",
              "1  0.896123  0.896123  0.042857  0.192951  0.055222  0.124827  0.073773   \n",
              "2  0.955293  0.955293  0.037331  0.206056  0.056999  0.132816  0.077589   \n",
              "3  0.883337  0.883337  0.026739  0.191752  0.050967  0.122832  0.070774   \n",
              "4  1.000647  1.000647  0.035323  0.217915  0.058013  0.139840  0.080506   \n",
              "\n",
              "         F8        F9       F10       F11       F12       F13       F14  \\\n",
              "0  0.092264  0.078393  0.061549  0.072172  0.032864  0.059265  0.005790   \n",
              "1  0.089933  0.076569  0.060163  0.070322  0.032297  0.057609  0.005946   \n",
              "2  0.095292  0.081038  0.063426  0.074742  0.033700  0.061492  0.005675   \n",
              "3  0.087719  0.074451  0.058046  0.069000  0.030478  0.057043  0.004577   \n",
              "4  0.099913  0.084644  0.066177  0.078405  0.034829  0.064772  0.005368   \n",
              "\n",
              "        F15  target  \n",
              "0  0.041209  Mariam  \n",
              "1  0.039920  Mariam  \n",
              "2  0.042886  Mariam  \n",
              "3  0.040069  Mariam  \n",
              "4  0.045439  Mariam  "
            ],
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              "    }\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>F1</th>\n",
              "      <th>F2</th>\n",
              "      <th>F3</th>\n",
              "      <th>F4</th>\n",
              "      <th>F5</th>\n",
              "      <th>F6</th>\n",
              "      <th>F7</th>\n",
              "      <th>F8</th>\n",
              "      <th>F9</th>\n",
              "      <th>F10</th>\n",
              "      <th>F11</th>\n",
              "      <th>F12</th>\n",
              "      <th>F13</th>\n",
              "      <th>F14</th>\n",
              "      <th>F15</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>0.918535</td>\n",
              "      <td>0.918535</td>\n",
              "      <td>0.042015</td>\n",
              "      <td>0.199116</td>\n",
              "      <td>0.055701</td>\n",
              "      <td>0.128388</td>\n",
              "      <td>0.075249</td>\n",
              "      <td>0.092264</td>\n",
              "      <td>0.078393</td>\n",
              "      <td>0.061549</td>\n",
              "      <td>0.072172</td>\n",
              "      <td>0.032864</td>\n",
              "      <td>0.059265</td>\n",
              "      <td>0.005790</td>\n",
              "      <td>0.041209</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>0.896123</td>\n",
              "      <td>0.896123</td>\n",
              "      <td>0.042857</td>\n",
              "      <td>0.192951</td>\n",
              "      <td>0.055222</td>\n",
              "      <td>0.124827</td>\n",
              "      <td>0.073773</td>\n",
              "      <td>0.089933</td>\n",
              "      <td>0.076569</td>\n",
              "      <td>0.060163</td>\n",
              "      <td>0.070322</td>\n",
              "      <td>0.032297</td>\n",
              "      <td>0.057609</td>\n",
              "      <td>0.005946</td>\n",
              "      <td>0.039920</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>0.955293</td>\n",
              "      <td>0.955293</td>\n",
              "      <td>0.037331</td>\n",
              "      <td>0.206056</td>\n",
              "      <td>0.056999</td>\n",
              "      <td>0.132816</td>\n",
              "      <td>0.077589</td>\n",
              "      <td>0.095292</td>\n",
              "      <td>0.081038</td>\n",
              "      <td>0.063426</td>\n",
              "      <td>0.074742</td>\n",
              "      <td>0.033700</td>\n",
              "      <td>0.061492</td>\n",
              "      <td>0.005675</td>\n",
              "      <td>0.042886</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>0.883337</td>\n",
              "      <td>0.883337</td>\n",
              "      <td>0.026739</td>\n",
              "      <td>0.191752</td>\n",
              "      <td>0.050967</td>\n",
              "      <td>0.122832</td>\n",
              "      <td>0.070774</td>\n",
              "      <td>0.087719</td>\n",
              "      <td>0.074451</td>\n",
              "      <td>0.058046</td>\n",
              "      <td>0.069000</td>\n",
              "      <td>0.030478</td>\n",
              "      <td>0.057043</td>\n",
              "      <td>0.004577</td>\n",
              "      <td>0.040069</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1.000647</td>\n",
              "      <td>1.000647</td>\n",
              "      <td>0.035323</td>\n",
              "      <td>0.217915</td>\n",
              "      <td>0.058013</td>\n",
              "      <td>0.139840</td>\n",
              "      <td>0.080506</td>\n",
              "      <td>0.099913</td>\n",
              "      <td>0.084644</td>\n",
              "      <td>0.066177</td>\n",
              "      <td>0.078405</td>\n",
              "      <td>0.034829</td>\n",
              "      <td>0.064772</td>\n",
              "      <td>0.005368</td>\n",
              "      <td>0.045439</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
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              "      const quickchartButtonEl =\n",
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              "\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "dfS3",
              "summary": "{\n  \"name\": \"dfS3\",\n  \"rows\": 22,\n  \"fields\": [\n    {\n      \"column\": \"F1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03398754374400016,\n        \"min\": 0.8833372509119274,\n        \"max\": 1.0159931408945277,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.918534801888735,\n          0.9298988401054551,\n          0.9513184633128955\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03398754374400016,\n        \"min\": 0.8833372509119274,\n        \"max\": 1.0159931408945277,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.918534801888735,\n          0.9298988401054551,\n          0.9513184633128955\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F3\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.008600069477373129,\n        \"min\": 0.015656106108478625,\n        \"max\": 0.049006018130140605,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.042014634361927136,\n          0.02970889928357947,\n          0.039506416429745575\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F4\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.007731533133962263,\n        \"min\": 0.1917518014092887,\n        \"max\": 0.21826106553209684,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.19911600168385069,\n          0.2028767569005421,\n          0.20366609796136267\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F5\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0027704118155499114,\n        \"min\": 0.050967151402824276,\n        \"max\": 0.0612181556943242,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.05570108783158333,\n          0.05311062172971396,\n          0.05784123521067777\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.004763013895418424,\n        \"min\": 0.12283152252043668,\n        \"max\": 0.1410567359985384,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.1283882781200498,\n          0.12992993753070442,\n          0.1317744207638314\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F7\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0027148814475643104,\n        \"min\": 0.07077444637040578,\n        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     \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F14\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0008442741057106873,\n        \"min\": 0.0034623896679681445,\n        \"max\": 0.006496347765798199,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.005789814140838626,\n          0.004708765331540748,\n          0.0060229324035563905\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F15\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.001756842368271868,\n        \"min\": 0.03991963382194532,\n        \"max\": 0.045662024213378775,\n        \"num_unique_values\": 22,\n        \"samples\": [\n          0.04120851018633519,\n          0.04238949559605115,\n          0.04236280578088799\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Mariam\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 110
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Combine and shuffle - Train\n",
        "combined_df = pd.concat([dfS1, dfS2, dfS3], ignore_index=True)\n",
        "df = combined_df.sample(frac=1, random_state=42).reset_index(drop=True)\n",
        "\n",
        "df.tail()"
      ],
      "metadata": {
        "id": "XHWdgX9K449V",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "outputId": "12910791-48a1-4793-c566-c416142967cd"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          F1        F2        F3        F4        F5        F6        F7  \\\n",
              "57  0.955293  0.955293  0.037331  0.206056  0.056999  0.132816  0.077589   \n",
              "58  0.835882  0.835882  0.129535  0.215874  0.061027  0.131378  0.078045   \n",
              "59  0.527402  0.527402  0.320162  0.187626  0.079637  0.107159  0.078067   \n",
              "60  0.952208  0.952208  0.019088  0.205473  0.052071  0.132284  0.074582   \n",
              "61  0.593819  0.593819  0.259261  0.195703  0.068783  0.112987  0.074703   \n",
              "\n",
              "          F8        F9       F10       F11       F12       F13       F14  \\\n",
              "57  0.095292  0.081038  0.063426  0.074742  0.033700  0.061492  0.005675   \n",
              "58  0.095471  0.079573  0.064971  0.072085  0.036275  0.058122  0.008953   \n",
              "59  0.084376  0.070578  0.063312  0.058127  0.041791  0.041894  0.019824   \n",
              "60  0.093918  0.079294  0.061676  0.073994  0.031880  0.061572  0.004020   \n",
              "61  0.085787  0.070905  0.061911  0.060776  0.038509  0.045998  0.015377   \n",
              "\n",
              "         F15   target  \n",
              "57  0.042886   Mariam  \n",
              "58  0.039195       MK  \n",
              "59  0.022873  Mostafa  \n",
              "60  0.043648   Mariam  \n",
              "61  0.027730  Mostafa  "
            ],
            "text/html": [
              "\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>F1</th>\n",
              "      <th>F2</th>\n",
              "      <th>F3</th>\n",
              "      <th>F4</th>\n",
              "      <th>F5</th>\n",
              "      <th>F6</th>\n",
              "      <th>F7</th>\n",
              "      <th>F8</th>\n",
              "      <th>F9</th>\n",
              "      <th>F10</th>\n",
              "      <th>F11</th>\n",
              "      <th>F12</th>\n",
              "      <th>F13</th>\n",
              "      <th>F14</th>\n",
              "      <th>F15</th>\n",
              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>0.955293</td>\n",
              "      <td>0.955293</td>\n",
              "      <td>0.037331</td>\n",
              "      <td>0.206056</td>\n",
              "      <td>0.056999</td>\n",
              "      <td>0.132816</td>\n",
              "      <td>0.077589</td>\n",
              "      <td>0.095292</td>\n",
              "      <td>0.081038</td>\n",
              "      <td>0.063426</td>\n",
              "      <td>0.074742</td>\n",
              "      <td>0.033700</td>\n",
              "      <td>0.061492</td>\n",
              "      <td>0.005675</td>\n",
              "      <td>0.042886</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>0.835882</td>\n",
              "      <td>0.835882</td>\n",
              "      <td>0.129535</td>\n",
              "      <td>0.215874</td>\n",
              "      <td>0.061027</td>\n",
              "      <td>0.131378</td>\n",
              "      <td>0.078045</td>\n",
              "      <td>0.095471</td>\n",
              "      <td>0.079573</td>\n",
              "      <td>0.064971</td>\n",
              "      <td>0.072085</td>\n",
              "      <td>0.036275</td>\n",
              "      <td>0.058122</td>\n",
              "      <td>0.008953</td>\n",
              "      <td>0.039195</td>\n",
              "      <td>MK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>0.527402</td>\n",
              "      <td>0.527402</td>\n",
              "      <td>0.320162</td>\n",
              "      <td>0.187626</td>\n",
              "      <td>0.079637</td>\n",
              "      <td>0.107159</td>\n",
              "      <td>0.078067</td>\n",
              "      <td>0.084376</td>\n",
              "      <td>0.070578</td>\n",
              "      <td>0.063312</td>\n",
              "      <td>0.058127</td>\n",
              "      <td>0.041791</td>\n",
              "      <td>0.041894</td>\n",
              "      <td>0.019824</td>\n",
              "      <td>0.022873</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>0.952208</td>\n",
              "      <td>0.952208</td>\n",
              "      <td>0.019088</td>\n",
              "      <td>0.205473</td>\n",
              "      <td>0.052071</td>\n",
              "      <td>0.132284</td>\n",
              "      <td>0.074582</td>\n",
              "      <td>0.093918</td>\n",
              "      <td>0.079294</td>\n",
              "      <td>0.061676</td>\n",
              "      <td>0.073994</td>\n",
              "      <td>0.031880</td>\n",
              "      <td>0.061572</td>\n",
              "      <td>0.004020</td>\n",
              "      <td>0.043648</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>61</th>\n",
              "      <td>0.593819</td>\n",
              "      <td>0.593819</td>\n",
              "      <td>0.259261</td>\n",
              "      <td>0.195703</td>\n",
              "      <td>0.068783</td>\n",
              "      <td>0.112987</td>\n",
              "      <td>0.074703</td>\n",
              "      <td>0.085787</td>\n",
              "      <td>0.070905</td>\n",
              "      <td>0.061911</td>\n",
              "      <td>0.060776</td>\n",
              "      <td>0.038509</td>\n",
              "      <td>0.045998</td>\n",
              "      <td>0.015377</td>\n",
              "      <td>0.027730</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "\n",
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              "  }\n",
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              "  @keyframes spin {\n",
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              "  }\n",
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              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
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              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
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0.058127174525637565\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F12\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.00391290093500448,\n        \"min\": 0.031880269166220936,\n        \"max\": 0.04179144164634953,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.03627474661973687,\n          0.03850916103403751,\n          0.04179144164634953\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F13\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.00923135277936229,\n        \"min\": 0.04189425278077818,\n        \"max\": 0.06157225996388477,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.058121958774919824,\n          0.04599828782708258,\n          0.04189425278077818\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F14\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.006670896920152937,\n        \"min\": 0.004020418790371625,\n        \"max\": 0.019823520283838422,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.00895293147159645,\n          0.015376681874839622,\n          0.019823520283838422\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F15\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.009409410585718894,\n        \"min\": 0.022872911257749727,\n        \"max\": 0.04364841498565678,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.03919544512470889,\n          0.027729984841838404,\n          0.022872911257749727\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Mariam\",\n          \"MK\",\n          \"Mostafa\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 111
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Combine and shuffle - Test\n",
        "combined_df_test = pd.concat([dfS1_test, dfS2_test, dfS3_test], ignore_index=True)\n",
        "df_test = combined_df_test.sample(frac=1, random_state=42).reset_index(drop=True)\n",
        "\n",
        "df_test.tail()"
      ],
      "metadata": {
        "id": "GnZGZTTyIgFc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 226
        },
        "outputId": "2037d972-bbfd-4786-f352-e7ee4e89af4f"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "          F1        F2        F3        F4        F5        F6        F7  \\\n",
              "56  1.000759  1.000759  0.029438  0.219569  0.056134  0.140206  0.079590   \n",
              "57  0.368273  0.368273  0.111110  0.091583  0.040987  0.057961  0.042311   \n",
              "58  0.648627  0.648627  0.026663  0.184563  0.022901  0.106920  0.047991   \n",
              "59  1.061551  1.061551  0.023494  0.235965  0.056585  0.149608  0.083049   \n",
              "60  0.720414  0.720414  0.011805  0.203680  0.023971  0.117433  0.052063   \n",
              "\n",
              "          F8        F9       F10       F11       F12       F13       F14  \\\n",
              "56  0.099737  0.084264  0.065716  0.078401  0.034224  0.065049  0.004721   \n",
              "57  0.045136  0.039185  0.033176  0.033016  0.021074  0.024571  0.008865   \n",
              "58  0.072050  0.056290  0.044556  0.055561  0.020315  0.048519 -0.001472   \n",
              "59  0.105735  0.088874  0.069124  0.083253  0.035426  0.069521  0.004010   \n",
              "60  0.078582  0.061591  0.048158  0.061127  0.021448  0.053671 -0.002469   \n",
              "\n",
              "         F15   target  \n",
              "56  0.045917   Mariam  \n",
              "57  0.014431       MK  \n",
              "58  0.036553  Mostafa  \n",
              "59  0.049519   Mariam  \n",
              "60  0.040749  Mostafa  "
            ],
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              "      <th>target</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>56</th>\n",
              "      <td>1.000759</td>\n",
              "      <td>1.000759</td>\n",
              "      <td>0.029438</td>\n",
              "      <td>0.219569</td>\n",
              "      <td>0.056134</td>\n",
              "      <td>0.140206</td>\n",
              "      <td>0.079590</td>\n",
              "      <td>0.099737</td>\n",
              "      <td>0.084264</td>\n",
              "      <td>0.065716</td>\n",
              "      <td>0.078401</td>\n",
              "      <td>0.034224</td>\n",
              "      <td>0.065049</td>\n",
              "      <td>0.004721</td>\n",
              "      <td>0.045917</td>\n",
              "      <td>Mariam</td>\n",
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              "    <tr>\n",
              "      <th>57</th>\n",
              "      <td>0.368273</td>\n",
              "      <td>0.368273</td>\n",
              "      <td>0.111110</td>\n",
              "      <td>0.091583</td>\n",
              "      <td>0.040987</td>\n",
              "      <td>0.057961</td>\n",
              "      <td>0.042311</td>\n",
              "      <td>0.045136</td>\n",
              "      <td>0.039185</td>\n",
              "      <td>0.033176</td>\n",
              "      <td>0.033016</td>\n",
              "      <td>0.021074</td>\n",
              "      <td>0.024571</td>\n",
              "      <td>0.008865</td>\n",
              "      <td>0.014431</td>\n",
              "      <td>MK</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>58</th>\n",
              "      <td>0.648627</td>\n",
              "      <td>0.648627</td>\n",
              "      <td>0.026663</td>\n",
              "      <td>0.184563</td>\n",
              "      <td>0.022901</td>\n",
              "      <td>0.106920</td>\n",
              "      <td>0.047991</td>\n",
              "      <td>0.072050</td>\n",
              "      <td>0.056290</td>\n",
              "      <td>0.044556</td>\n",
              "      <td>0.055561</td>\n",
              "      <td>0.020315</td>\n",
              "      <td>0.048519</td>\n",
              "      <td>-0.001472</td>\n",
              "      <td>0.036553</td>\n",
              "      <td>Mostafa</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>59</th>\n",
              "      <td>1.061551</td>\n",
              "      <td>1.061551</td>\n",
              "      <td>0.023494</td>\n",
              "      <td>0.235965</td>\n",
              "      <td>0.056585</td>\n",
              "      <td>0.149608</td>\n",
              "      <td>0.083049</td>\n",
              "      <td>0.105735</td>\n",
              "      <td>0.088874</td>\n",
              "      <td>0.069124</td>\n",
              "      <td>0.083253</td>\n",
              "      <td>0.035426</td>\n",
              "      <td>0.069521</td>\n",
              "      <td>0.004010</td>\n",
              "      <td>0.049519</td>\n",
              "      <td>Mariam</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>60</th>\n",
              "      <td>0.720414</td>\n",
              "      <td>0.720414</td>\n",
              "      <td>0.011805</td>\n",
              "      <td>0.203680</td>\n",
              "      <td>0.023971</td>\n",
              "      <td>0.117433</td>\n",
              "      <td>0.052063</td>\n",
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              "      <td>0.053671</td>\n",
              "      <td>-0.002469</td>\n",
              "      <td>0.040749</td>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df_test\",\n  \"rows\": 5,\n  \"fields\": [\n    {\n      \"column\": \"F1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2812112116868263,\n        \"min\": 0.36827331863253554,\n        \"max\": 1.0615514822429908,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.36827331863253554,\n          0.7204143339663779,\n          0.6486271402546824\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.2812112116868263,\n        \"min\": 0.36827331863253554,\n        \"max\": 1.0615514822429908,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.36827331863253554,\n          0.7204143339663779,\n          0.6486271402546824\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F3\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.04003817995147791,\n        \"min\": 0.011804906916339447,\n        \"max\": 0.11111004789933795,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.11111004789933795,\n          0.011804906916339447,\n          0.02666278653149632\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F4\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.05667196232085728,\n        \"min\": 0.09158305843240366,\n        \"max\": 0.2359652491900521,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.09158305843240366,\n          0.20367958976235703,\n          0.1845627441858382\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F5\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.01647424339114643,\n        \"min\": 0.02290062931703474,\n        \"max\": 0.05658542131989201,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.04098682603793491,\n          0.02397086386942583,\n          0.02290062931703474\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F6\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.03590272923331185,\n        \"min\": 0.057961485000298005,\n        \"max\": 0.1496084069530459,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.057961485000298005,\n          0.1174328791380101,\n          0.10691994492594782\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F7\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.018908342669184373,\n        \"min\": 0.0423109574051637,\n        \"max\": 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0.055560536630250255\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F12\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.007624577677708624,\n        \"min\": 0.020315345144231684,\n        \"max\": 0.03542599986047355,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.021074232401732347,\n          0.02144820203934373,\n          0.020315345144231684\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F13\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.017636170346343218,\n        \"min\": 0.0245711728306237,\n        \"max\": 0.0695206752614554,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.0245711728306237,\n          0.05367118483244161,\n          0.04851934691210969\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F14\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.004688387052319893,\n        \"min\": -0.0024692308027614205,\n        \"max\": 0.008864866829316765,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.008864866829316765,\n          -0.0024692308027614205,\n          -0.0014715596629675098\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"F15\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.013774213056269696,\n        \"min\": 0.014430637141530984,\n        \"max\": 0.04951862089276128,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.014430637141530984,\n          0.040749384047206086,\n          0.03655300919991191\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"target\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 3,\n        \"samples\": [\n          \"Mariam\",\n          \"MK\",\n          \"Mostafa\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "##KNN Model"
      ],
      "metadata": {
        "id": "hz24hBlR2Wkq"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X_train=df.drop(\"target\",axis=1)\n",
        "y_train=df[\"target\"]\n",
        "\n",
        "X_test=df_test.drop(\"target\",axis=1)\n",
        "y_test=df_test[\"target\"]"
      ],
      "metadata": {
        "id": "mzaPZeSkHMah"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "neighbor_range = range(1, 30)\n",
        "\n",
        "for n in neighbor_range:\n",
        "    model = KNeighborsClassifier(n_neighbors=n)\n",
        "    model.fit(X_train, y_train)\n",
        "    training_accuracy = model.score(X_train, y_train)\n",
        "    testing_accuracy = model.score(X_test, y_test)\n",
        "    print(f\"Training Accuracy with {n} neighbor(s): {training_accuracy}\")\n",
        "    print(f\"Testing Accuracy with {n} neighbor(s): {testing_accuracy}\")\n",
        "    print(\"-\" * 50)"
      ],
      "metadata": {
        "id": "gijiie0XWDSr",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ef5d7f8f-a2d1-42ad-8687-2fadafee1266"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Training Accuracy with 1 neighbor(s): 1.0\n",
            "Testing Accuracy with 1 neighbor(s): 0.4098360655737705\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 2 neighbor(s): 1.0\n",
            "Testing Accuracy with 2 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 3 neighbor(s): 1.0\n",
            "Testing Accuracy with 3 neighbor(s): 0.4262295081967213\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 4 neighbor(s): 1.0\n",
            "Testing Accuracy with 4 neighbor(s): 0.4262295081967213\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 5 neighbor(s): 1.0\n",
            "Testing Accuracy with 5 neighbor(s): 0.4262295081967213\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 6 neighbor(s): 1.0\n",
            "Testing Accuracy with 6 neighbor(s): 0.4262295081967213\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 7 neighbor(s): 0.9838709677419355\n",
            "Testing Accuracy with 7 neighbor(s): 0.4262295081967213\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 8 neighbor(s): 1.0\n",
            "Testing Accuracy with 8 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 9 neighbor(s): 0.9838709677419355\n",
            "Testing Accuracy with 9 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 10 neighbor(s): 1.0\n",
            "Testing Accuracy with 10 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 11 neighbor(s): 1.0\n",
            "Testing Accuracy with 11 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 12 neighbor(s): 1.0\n",
            "Testing Accuracy with 12 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 13 neighbor(s): 0.9838709677419355\n",
            "Testing Accuracy with 13 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 14 neighbor(s): 0.9838709677419355\n",
            "Testing Accuracy with 14 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 15 neighbor(s): 0.9838709677419355\n",
            "Testing Accuracy with 15 neighbor(s): 0.39344262295081966\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 16 neighbor(s): 1.0\n",
            "Testing Accuracy with 16 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 17 neighbor(s): 1.0\n",
            "Testing Accuracy with 17 neighbor(s): 0.3770491803278688\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 18 neighbor(s): 1.0\n",
            "Testing Accuracy with 18 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 19 neighbor(s): 1.0\n",
            "Testing Accuracy with 19 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 20 neighbor(s): 1.0\n",
            "Testing Accuracy with 20 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 21 neighbor(s): 1.0\n",
            "Testing Accuracy with 21 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 22 neighbor(s): 1.0\n",
            "Testing Accuracy with 22 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 23 neighbor(s): 1.0\n",
            "Testing Accuracy with 23 neighbor(s): 0.3770491803278688\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 24 neighbor(s): 1.0\n",
            "Testing Accuracy with 24 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 25 neighbor(s): 1.0\n",
            "Testing Accuracy with 25 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 26 neighbor(s): 1.0\n",
            "Testing Accuracy with 26 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 27 neighbor(s): 1.0\n",
            "Testing Accuracy with 27 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 28 neighbor(s): 1.0\n",
            "Testing Accuracy with 28 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n",
            "Training Accuracy with 29 neighbor(s): 1.0\n",
            "Testing Accuracy with 29 neighbor(s): 0.36065573770491804\n",
            "--------------------------------------------------\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "knn = KNeighborsClassifier()\n",
        "param_grid = {\n",
        "    'n_neighbors': range(1, 30),\n",
        "    'weights': ['uniform', 'distance'],\n",
        "    #'uniform': All neighbors have equal weight in the classification decision\n",
        "    #This means each of the k nearest neighbors contributes the same amount to the decision-making process, regardless of how far or close they are.\n",
        "    #'distance': Neighbors closer to the query point are given more weight\n",
        "    #Specifically, the closer a neighbor is to the query point, the greater its influence on the prediction\n",
        "    'metric': ['minkowski', 'euclidean', 'manhattan'],\n",
        "    'p': [1, 2]  # Only relevant for Minkowski\n",
        "    #p=1: the distance metric is equivalent to the Manhattan distance (L1 norm).\n",
        "    #p=2: the distance metric becomes the Euclidean distance (L2 norm), which is the straight-line distance\n",
        "}\n",
        "\n",
        "grid_search = GridSearchCV(estimator=knn, param_grid=param_grid, cv=5, scoring='accuracy', n_jobs=-1)\n",
        "grid_search.fit(X_train, y_train)\n",
        "\n",
        "best_knn = grid_search.best_estimator_\n",
        "print(\"Best Parameters:\", grid_search.best_params_)\n",
        "\n",
        "training_accuracy = best_knn.score(X_train, y_train)\n",
        "testing_accuracy = best_knn.score(X_test, y_test)\n",
        "print(f\"Training Accuracy: {training_accuracy:.4f}\")\n",
        "print(f\"Testing Accuracy: {testing_accuracy:.4f}\")\n",
        "\n",
        "y_pred = best_knn.predict(X_test)\n",
        "cm = confusion_matrix(y_test, y_pred)\n",
        "print(\"Confusion Matrix:\")\n",
        "print(cm)\n",
        "\n",
        "plt.figure(figsize=(6, 5))\n",
        "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues', xticklabels=np.unique(y_test), yticklabels=np.unique(y_test))\n",
        "plt.title(\"Confusion Matrix\")\n",
        "plt.xlabel(\"Predicted Labels\")\n",
        "plt.ylabel(\"True Labels\")\n",
        "plt.show()\n",
        "\n",
        "joblib_file = 'optimized_biometrics_model.pkl'\n",
        "joblib.dump(best_knn, joblib_file)\n",
        "#verify\n",
        "model = joblib.load(joblib_file)"
      ],
      "metadata": {
        "id": "IUWFsB0WKeTx",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dd5d385b-b9e2-4f21-8f4b-650cb15967c5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Best Parameters: {'metric': 'minkowski', 'n_neighbors': 1, 'p': 1, 'weights': 'uniform'}\n",
            "Training Accuracy: 1.0000\n",
            "Testing Accuracy: 0.4590\n",
            "Confusion Matrix:\n",
            "[[ 0  0 22]\n",
            " [ 0 22  0]\n",
            " [ 9  2  6]]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "results_df = pd.DataFrame(grid_search.cv_results_)\n",
        "\n",
        "results_df = results_df[['param_n_neighbors', 'param_weights', 'param_metric', 'param_p', 'mean_test_score', 'std_test_score', 'rank_test_score']]\n",
        "results_df = results_df.dropna()\n",
        "results_df.sample(10)\n"
      ],
      "metadata": {
        "id": "ha2wfNsVJh1g",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "91300cff-91f0-4f1a-e455-a0f4b582b5af"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     param_n_neighbors param_weights param_metric  param_p  mean_test_score  \\\n",
              "15                   4      distance    minkowski        2              1.0   \n",
              "225                 28      distance    euclidean        1              1.0   \n",
              "139                  6      distance    euclidean        2              1.0   \n",
              "10                   3       uniform    minkowski        2              1.0   \n",
              "23                   6      distance    minkowski        2              1.0   \n",
              "93                  24      distance    minkowski        1              1.0   \n",
              "62                  16       uniform    minkowski        2              1.0   \n",
              "36                  10       uniform    minkowski        1              1.0   \n",
              "94                  24       uniform    minkowski        2              1.0   \n",
              "155                 10      distance    euclidean        2              1.0   \n",
              "\n",
              "     std_test_score  rank_test_score  \n",
              "15              0.0                1  \n",
              "225             0.0                1  \n",
              "139             0.0                1  \n",
              "10              0.0                1  \n",
              "23              0.0                1  \n",
              "93              0.0                1  \n",
              "62              0.0                1  \n",
              "36              0.0                1  \n",
              "94              0.0                1  \n",
              "155             0.0                1  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-79a651f4-3f7d-4f11-a303-c699ea78abba\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "\n",
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              "\n",
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              "        text-align: right;\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>param_n_neighbors</th>\n",
              "      <th>param_weights</th>\n",
              "      <th>param_metric</th>\n",
              "      <th>param_p</th>\n",
              "      <th>mean_test_score</th>\n",
              "      <th>std_test_score</th>\n",
              "      <th>rank_test_score</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>15</th>\n",
              "      <td>4</td>\n",
              "      <td>distance</td>\n",
              "      <td>minkowski</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>225</th>\n",
              "      <td>28</td>\n",
              "      <td>distance</td>\n",
              "      <td>euclidean</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>139</th>\n",
              "      <td>6</td>\n",
              "      <td>distance</td>\n",
              "      <td>euclidean</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>10</th>\n",
              "      <td>3</td>\n",
              "      <td>uniform</td>\n",
              "      <td>minkowski</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>23</th>\n",
              "      <td>6</td>\n",
              "      <td>distance</td>\n",
              "      <td>minkowski</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>93</th>\n",
              "      <td>24</td>\n",
              "      <td>distance</td>\n",
              "      <td>minkowski</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>62</th>\n",
              "      <td>16</td>\n",
              "      <td>uniform</td>\n",
              "      <td>minkowski</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>36</th>\n",
              "      <td>10</td>\n",
              "      <td>uniform</td>\n",
              "      <td>minkowski</td>\n",
              "      <td>1</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>94</th>\n",
              "      <td>24</td>\n",
              "      <td>uniform</td>\n",
              "      <td>minkowski</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>155</th>\n",
              "      <td>10</td>\n",
              "      <td>distance</td>\n",
              "      <td>euclidean</td>\n",
              "      <td>2</td>\n",
              "      <td>1.0</td>\n",
              "      <td>0.0</td>\n",
              "      <td>1</td>\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"results_df\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"param_n_neighbors\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9,\n        \"min\": 3,\n        \"max\": 28,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          4,\n          28,\n          16\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"param_weights\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"uniform\",\n          \"distance\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"param_metric\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"euclidean\",\n          \"minkowski\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"param_p\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 2,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          1,\n          2\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mean_test_score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"std_test_score\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 0.0,\n        \"max\": 0.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"rank_test_score\",\n      \"properties\": {\n        \"dtype\": \"int32\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 91
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def predict_person(input_data):\n",
        "\n",
        "    model = joblib.load('optimized_biometrics_model.pkl')\n",
        "\n",
        "    prediction = model.predict(input_data)\n",
        "\n",
        "    return prediction[0]\n",
        "\n",
        "predicted_person = predict_person(dfS3_test.drop(\"target\",axis=1))\n",
        "print(f\"The predicted person is: {predicted_person}\")"
      ],
      "metadata": {
        "id": "bWzGoPMAUee-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9f86f0c6-839f-49d2-c598-3022dc93e4b5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "The predicted person is: Mariam\n"
          ]
        }
      ]
    }
  ]
}